Group 1 - The core viewpoint is that Hong Kong dividend assets have value for bottom-line allocation, especially considering the downward pressure on the mainland economy and the historical performance of these assets during similar economic conditions [1] - The mainland economy is experiencing downward pressure, with a slowdown in private sector credit growth following the weakening of the "9.24" policy pulse and reduced necessity for policy hedging due to unexpected developments in US-China tariff negotiations [1] - Historically, during phases of weakened private sector credit, Hong Kong dividend assets have shown relative superiority [1] Group 2 - There is increasing uncertainty regarding the decline in US Treasury yields, as the US economy faces "stagflation" risks and the Federal Reserve remains in a wait-and-see mode, maintaining its stance during the May FOMC meeting [1] - The uncertainty surrounding Trump's policies has cast a shadow over US dollar credit, presenting challenges for the decline in US Treasury yields [1] - The Hong Kong dividend ETF (159331) tracks the Hong Kong Stock Connect High Dividend (HKD) Index (code: 930914), which selects high dividend yield securities listed in Hong Kong, primarily covering transportation, resources, and consumer sectors [1]

Key Points - The Federal Reserve is expected to maintain interest rates in May, with a 95% probability of no change, due to the resilience of the US economy and limited impact from tariffs on employment and inflation [1] - Current economic data shows signs of moderate weakening but no recession indicators, with significant layoffs in April not reflected in non-farm payroll data and strong PMI figures [1] - The focus will be on how Fed Chair Powell assesses the economic situation during the press conference, as any slowdown in employment and consumption could lead to recession risks [1] Outlook - The relationship between the White House and the Federal Reserve has eased, increasing the likelihood of the Fed sending positive signals [2] - Following strong non-farm payroll and PMI data, expectations for rate cuts have been delayed, and the Fed may have more room to stabilize market and economic expectations [2] - The upcoming FOMC meeting aims to provide a relatively positive signal to maintain market recovery since late April, reducing the potential for future interference from the Trump administration [2] Market Impact - The Fed's positive signals could lead to an increase in the probability of rate cuts if economic data weakens in the future [2] - The 10-year US Treasury yield and short-term rates are expected to trend downward, with US stocks entering a consolidation phase after volatility decreases [2] - It is suggested to gradually invest in US stocks, particularly in small-cap growth sectors, which may have greater upside potential compared to large-cap indices like the Dow and Nasdaq [2]

文 ｜ 明明 周成华 王楠茜 2 0 2 5年一季度美国GDP实际环比折年率从2 0 2 4年四季度的2 . 4%快速下降至- 0 . 3%，主要拖累为进 口增加、政府支出减少，同时美国消费韧性也在下降。4 月美国非农数据显示美国就业市场近期保 持了相对平稳，市场降息预期降温。若特朗普关税倾向不改，特朗普关税等政策对美国经济的负面 冲击预计将持续，未来美国就业市场、GDP增长难言乐观。 ▍ 2 0 2 5年一季度美国GDP实际环比折年率从2 0 2 4年四季度的2 . 4%快速下降至- 0 . 3%，主要拖累 为进口增加、政府支出减少。 从私人投资细分项来看，美国私人投资项中最高贡献项为私人库存增加，其次为企业投资项增 加，但其主要由关税政策下抢库存推动，企业未来库存预期实际上在下降。美国GDP私人存货变 化的领先指标出现下降迹象，中小企业的库存扩张计划预期在特朗普上台后也显著下滑。美国企 业累库行为未来或随着关税政策逐步落地而减弱，美国GDP私人存货变化对美国GDP的正向贡献 或将随之下降。 ▍ 美国企业投资或仍有一定韧性，但美国住宅投资受高利率抑制。 美国制造业核心资本品新订单从2 0 2 4年末开始提升 ...

Group 1 - The core viewpoint of the article is that the U.S. fiscal pressure is expected to impact U.S. Treasury yields, particularly with concerns over budget resolutions and potential government shutdowns [1] - The U.S. Congress passed a budget resolution for the fiscal year 2025 in April, but it lacks legal effect and cannot directly allocate funds [1] - If the budget bill is not passed by September 30, a temporary funding bill will be required to avoid government shutdown risks [1] Group 2 - The implementation of the Trump tax cuts this year is anticipated to further increase the U.S. fiscal deficit pressure [1] - Market concerns regarding fiscal pressure and inflation risks are likely to keep U.S. Treasury yields, particularly the mid-term premium and inflation expectations, elevated [1] - The 10-year U.S. Treasury yield is expected to remain above 4.0% for some time, with future downward movement dependent on Trump’s policies, the economic pressures in the U.S., and Federal Reserve statements [1]

文 ｜ 明明 周成华 王楠茜 虽然今年4月美国国会通过了2 0 2 5财年预算决议，但该决议并不具有法律效力也不能直接拨款。预计今年预算法案需要在9月3 0 日前通过，否则国会则需通过临时拨款法案以避免政府停摆风险。特朗普减税法案今年若落地，美国财政赤字压力将进一步攀 升。市场对于财政压力的担忧以及对于通胀风险的担忧将持续导致美债利率中期限溢价以及通胀预期部分高位运行，进而1 0年 期美债利率中枢或一段时间在4 . 0%以上，后续美债利率下行空间的打开或需观察特朗普政策、美国经济承压状况和美联储表 态。 ▍ 2 0 2 5年4月1 0日美国众议院以2 1 6票对2 1 4票通过了参议院修订的2 0 2 5财年预算决议。 预算决议是国会内部指导文件，设定了政府在特定时期内的财政收支预期，不具有法律效力、无需总统签署和直接拨款。只要 参众两院通过相同的预算决议，该年度决议即被采纳。预算决议主要为后续立法确定财政方向和规模，以及为国会内部的预算 协调和审议提供基础。按照《1 9 7 4年国会预算法》，预算决议应在4月1 5日前通过，但实际较多财年未有决议通过。若无新决 议通过，前一决议的支出限额和收入下限会自动在剩 ...

文 ｜ 明明 李晗 徐烨烽 俞柯帆 来正杰 2 0 2 5年4月以来，受关税政策螺旋升温影响，美债利率出现快速调整，带动中资美元债市场出现波 动。我们认为近期中资美元债市场调整，更多缘于关税政策变化带来的流动性收紧与长端风险溢价 的抬升，而非出自于中资主体信用风险的变化。当前中资美元债已显露配置性价比，可博弈美联储 降息预期升温带来的资本利得机会，但考虑到关税政策风波仍未平息，后续需关注关税政策演绎与 美债波动情况对中资美元债的影响。从板块方面看，流动性较好的AT1或率先因美债利率企稳而呈 现利差修复行情，建议重点关注国股行中短久期AT1的配置机会；同时存量央企AMC美元债整体 收益较高，由于境内债央企属性定价较低，境内外利差相对更大，同样具备配置性价比。 ▍ 中资美元债市场出现波动。 ▍ 美债集中到期对中资美元债的影响。 根据Bl o omb e rg统计，预计2 0 2 5年美国国债到期规模处于未来十年的较高水平，全年到期规模为 9 . 8万亿美元，分月度看，2 0 2 5年4 - 7月为到期高峰，规模均高于1万亿美元，其中Q2到期规模为 5 . 4 5万亿美元，为2 0 2 5 - 2 0 2 8年期间 ...

Group 1: Impact of Tariffs - The new tariffs proposed by Trump could generate additional revenue of $600-700 billion per year, requiring the average effective tariff rate (AETR) to rise from 2.2% to 21%[7] - If the tariffs are fully borne by households, the average loss per American household could be $5,400, approximately 5% of median household income[9] - If the tariffs are shared equally between households and corporations, household income could decline by 2.5% and corporate after-tax profits could drop by 15%[9] Group 2: Economic Objectives and Comparisons - The economic objectives of the new tariffs include increasing federal revenue and promoting the return of manufacturing, differing from the 2018 focus on trade balance[10] - By Q4 2024, manufacturing's share of non-residential fixed asset investment is expected to rise to 5.7%, up from 2.7% five years ago[10] Group 3: Economic Growth and Market Reactions - The Federal Reserve has lowered its GDP growth forecast for 2025 from 2.1% to 1.7% due to tariff impacts, while only slightly adjusting the unemployment rate[12] - As of April 7, 2025, S&P 500 EPS forecasts have been revised down by 4.1% for Q1 and 2.5% for Q2, indicating a cautious market outlook[16] Group 4: Federal Reserve and Monetary Policy - The Fed's monetary policy aims to maintain a 2% inflation rate, with actual wages and long-term inflation expectations being critical factors in policy decisions[21] - As of April 7, 2025, the 5-year inflation swap rate is at 2.3%, indicating stable long-term inflation expectations[23] Group 5: Asset Allocation and Market Trends - High tariffs are expected to create both demand and supply shocks, influencing asset allocation strategies, with potential shifts favoring commodities over financial assets in a stagflation scenario[26] - The 10-year U.S. Treasury term premium is currently at 43 basis points, significantly lower than historical averages, indicating reduced demand for U.S. debt amid tariff-induced inflation risks[29]

Core Insights - The report highlights a positive outlook for domestic PMI data, suggesting a favorable direction for asset allocation while monitoring variables related to US Treasury rates [5][6][9] - It emphasizes the seasonal recovery in February PMI, indicating a need to pay attention to the incremental policies from the upcoming Two Sessions [5][13] - The investment strategy for March includes a focus on key stocks, with a particular emphasis on sectors benefiting from domestic demand expansion and technological advancements [5][18] Group 1: Domestic PMI Data and Economic Indicators - The manufacturing PMI for February is reported at 50.2, an increase of 1.1 percentage points from the previous month, indicating a significant recovery in manufacturing activity [8][13] - The non-manufacturing PMI stands at 50.4, slightly above market expectations, reflecting a stable recovery in the service sector [8][13] - The report suggests that the recovery in PMI is influenced by the post-Spring Festival resumption of activities and government stimulus measures, with production and new orders showing growth [8][14] Group 2: Market Performance and Asset Allocation - The report notes a general decline in global equity markets during the last week of February, with A-shares experiencing adjustments while US and European markets showed mixed results [7][8] - It highlights a decrease in commodity prices, including oil and metals, alongside a rebound in the US dollar index [7][8] - The report recommends focusing on sectors with strong downstream recovery and competitive cost structures, particularly in non-ferrous metals and petrochemical industries [8][9] Group 3: Policy and Economic Outlook - The report discusses the government's focus on expanding domestic demand and technological innovation as key tasks for the upcoming Two Sessions, with GDP growth targets expected around 5% [18][25] - It mentions the potential for increased fiscal deficits and the expansion of special bonds to support economic growth [18][25] - The report also addresses the impact of external uncertainties, particularly related to US trade policies and their potential effects on China's export outlook [18][19]

Group 1 - The report emphasizes the importance of "crowding" as a key indicator reflecting market sentiment in popular sectors, constructed from four dimensions: volume, price, capital, and analyst forecasts [1][11][12] - The current trading crowding in the TMT sector has rebounded from the bottom to a high level, with many segments of the AI industry chain also showing high crowding, although some remain at moderate levels [2][12] - The report suggests that when crowding is low, it indicates a bottoming phase for stock prices, while high crowding suggests potential for significant price corrections [1][11] Group 2 - The transaction ratio has reached a historical high of 46%, raising concerns about whether the AI trading sentiment has peaked [3][17][20] - The report indicates that while a high transaction ratio may lead to increased volatility, it does not typically signal a systemic end to the market trend, as internal rotation and high-low switching can help digest short-term overheating [3][20] - Historical examples are provided, showing that significant changes in industry trends or fundamentals can lead to new trend formations despite high transaction ratios [3][20] Group 3 - The report introduces a "rotation intensity" indicator to measure the speed of internal rotation within the AI sector, noting that a convergence in rotation intensity often leads to a mainline market trend [4][28] - Following the Spring Festival, the main directions within AI have become clearer, with the computer and media sectors leading the gains, resulting in a decrease in rotation intensity [4][28][29] - The relationship between the AI index and rotation intensity suggests a pattern of "linked rises and rotating adjustments," indicating resilience in the sector rather than systemic declines [4][34] Group 4 - U.S. Treasury yields are highlighted as a significant factor affecting the pricing of high-valuation growth assets, with rising yields typically suppressing market risk appetite [5][37] - The report notes a strong correlation between TMT performance and U.S. Treasury yields, suggesting that changes in yields should be closely monitored from a trading perspective [5][37][39] Group 5 - The report discusses the importance of earnings performance in the AI sector, noting that the correlation between stock price movements and earnings growth is strongest during earnings disclosure periods [7][43] - It is observed that when the market focuses on fundamentals, the TMT sector may face adjustment pressures, while periods of trading on expectations can lead to better performance [7][43][45] - The example of optical modules is provided, illustrating how sustained earnings performance can lead to a strong positive correlation with stock price movements [7][51][52]